This is a thesis. Includes research part and code implementation. It is about recognizing emotions from facial microexpressions. Microexpressions are expressions that occur for fractions of a second, they are difficult to observe with the naked eye while it is assumed that they are manifested by everyone the same, regardless of nationality, age and background. For the research part some work has been done which you will find in project_current_work.docx. There, an introduction has been written, some summary presentations of informal papers and a description of some datasets has been written. Useful papers and review_original contain papers related to ME (microexpressions) and various other review papers respectively. However, other papers can be added to the research after searching the internet. The research part aims to explain the psychological phenomenon, to present a related work with a general description and to explain the most state of the art implementations. Then, according to these to propose an implementation that could solve things that have not been solved or contain methods that have not been thoroughly researched. After my own study I concluded that I could develop a method with segmentation of the face, using handcrafted features such as optical flow with a combination of deep learning techniques. I have proceeded to implement code in python, having done a pre-processing (face detection, alignment) and segmentation of the face (according to the AUs you will see in the file). I also own all the datasets. I can share those after we talk. I would like you to help me with the completion and presentation of the research part and finally with the final implementation in code, suggesting me methods and helping with writing it as well as helping to solve technical problems such as not finding Python libraries. I await your reply and hope you can help me
